Edge computing & cloud computing are easily two of the significant technological innovations in the past few decades. They have capacitated various industries & domains to reimagine their business. Edge & Cloud computing has fundamentally distinct concepts and characteristics that address different areas.
Here is a detailed comparison table for edge and cloud computing that will help you understand what their core concept is, how they differ, benefits, challenges, and most importantly, use cases – where they work best.
Difference between Edge Computing & Cloud Computing
| Factors | Edge Computing | Cloud Computing | |||||||||||||||||||||||||
Concept
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Edge computing is a distributed computational framework where computation and storage happen at or near the data source itself. | Cloud computing is a concept of storing, managing, and processing data over a network of remote computing infrastructure hosted on the Internet instead of on-premise infrastructure. | |||||||||||||||||||||||||
Architecture |
Highly decentralized & distributed computing infrastructure closer to the end devices such as local edge peripherals and IoT devices.
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Centralized & distributed computing resources hosted in large-scale data centres spread across multiple locations.
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Performance |
Edge computing features minimal processing and storage capabilities, focused on latency-critical and real-time analysis. | Cloud computing features powerful computing and enormous storage capabilities, focused on non-time-sensitive, in-depth, and long-term analysis. | |||||||||||||||||||||||||
Latency |
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